An integrated risk assessment model for the multi-perspective vulnerability of distribution networks under multi-source heterogeneous data distributions

Research article (International Journal of Electrical Power & Energy Systems, 2023) · cited 14× · AI/ML
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An integrated risk assessment model for the multi-perspective vulnerability of distribution networks under multi-source heterogeneous data distributions

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An integrated risk assessment model for the multi-perspective vulnerability of distribution networks under multi-source heterogeneous data distributions is a scholarly article[1].

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  • An integrated risk assessment model for the multi-perspective vulnerability of distribution networks under multi-source heterogeneous data distributions's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). An integrated risk assessment model for the multi-perspective vulnerability of distribution networks under multi-source heterogeneous data distributions. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-integrated-risk-assessment-model-for-the-multi-perspective-vulnerability-of-distribution-networks-under-multi-source-
MLA “An integrated risk assessment model for the multi-perspective vulnerability of distribution networks under multi-source heterogeneous data distributions.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-integrated-risk-assessment-model-for-the-multi-perspective-vulnerability-of-distribution-networks-under-multi-source-.
BibTeX @misc{4ortxyz_an-integrated-risk-assessment-model-for-the-multi-perspective-vulnerability-of-distribution-networks-under-multi-source-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An integrated risk assessment model for the multi-perspective vulnerability of distribution networks under multi-source heterogeneous data distributions}}, year = {2026}, url = {https://4ort.xyz/entity/an-integrated-risk-assessment-model-for-the-multi-perspective-vulnerability-of-distribution-networks-under-multi-source-}, note = {Accessed: 2026-05-24}}
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